Research on mine dynamic deformation monitoring with GPS satellite geodetic technique

2004 ◽  
pp. 723-728
Author(s):  
Jingxiang Gao ◽  
Nanshan Zheng ◽  
Guangli Guo ◽  
Jian Wang
Keyword(s):  
Dynamic Deformation ◽  
Deformation Monitoring ◽  
Geodetic Technique

scholarly journals REAL-TIME MONITORING DEFORMATION OF BUILDING USING PHOTOGRAPHY DYNAMIC MONITORING SYSTEM

2021 ◽  
Vol 30 (1) ◽  
Author(s):  
Yongquan Ge ◽  
Chengxin Yu ◽  
Tonglong Zhao ◽  
Xiaodong Liu
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Dynamic Deformation ◽  
Motion Parallax ◽  
Deformation Monitoring ◽  
Dynamic Monitoring ◽  
Scale Transformation ◽  
Reference Image ◽  
Time Deformation ◽  
Mp Method

The spatial structure building is a type of building system; it is necessary to monitor deformation to determine its stability and robustness. Under the dynamic deformation of structures, it is challenging to determine appropriate zero image (the reference image) if we use the PST-IM- MP (photograph scale transformation-image matching-motion parallax) method to obtain the deformation of structures. This paper offers the Z-MP (zero-centered motion parallax) method to solve these problems and offers PDMS (Photography Dynamic Monitoring System) based on the digital photography system to monitor the dynamic deformation of the tennis stadium located in Jinan Olympic Sports Center. The results showed that the spatial structures of the tennis stadium were robust, and the deformations were elastic and within the permissible value. Compared with the PST-IM-MP method, the Z-MP method is more suitable for deformation monitoring structures under real-time deformation. This paper indicates PDMS has advantages of the simplicity of operations, automation, and the ability of non-contact dynamic deformation monitoring for multiple points in a short period. In the future, it will have broader application prospects.

scholarly journals Characteristics of multipath effects in GPS dynamic deformation monitoring

2006 ◽  
Vol 9 (2) ◽  
pp. 79-83 ◽  
Author(s):  
Huang Shengxiang ◽  
Jin Xiangsheng ◽  
Yang Baocen
Keyword(s):  
Dynamic Deformation ◽  
Deformation Monitoring ◽  
Multipath Effects

Prediction of Dynamic Deformation Monitoring Based on IGA Artificial Neural Network Model

2012 ◽  
Vol 204-208 ◽  
pp. 4760-4765
Author(s):  
Yu Zhu ◽  
Qing Zhao
Keyword(s):  
Neural Network ◽  
Genetic Algorithm ◽  
Bp Neural Network ◽  
Artificial Neural Network Model ◽  
Dynamic Deformation ◽  
Deformation Monitoring ◽  
Immune Genetic Algorithm ◽  
Forecasting Accuracy ◽  
Density Regulation ◽  
Biological Immune System

Dynamic deformation data analysis and prediction is a complex systematic project. Aimed at the shortcoming of the traditional prediction model, a method to design the BP neural network based on Immune Genetic Algorithm(IGA) was proposed. The mechanisms of diversity maintaining and antibody density regulation exhibited in a biological immune system were introduced into IGA based on genetic algorithm. The proposed algorithm overcame the problems of GA on search efficiency, individual diversity and prematur, and enhanced the convergent performance effectively. The results show that the BP neural network designed by IGA have better performance in convergent speed and global convergence, and the forecasting accuracy is improved, which illustrates IGA-BP neural network has certain of value on dynamic deformation monitoring forecasting.

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